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» Normalized Cuts and Image Segmentation
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MICCAI
2004
Springer
14 years 5 months ago
Clustering Fiber Traces Using Normalized Cuts
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha...
CVPR
2005
IEEE
14 years 6 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
ACIVS
2006
Springer
13 years 10 months ago
A Linear-Time Approach for Image Segmentation Using Graph-Cut Measures
Abstract. Image segmentation using graph cuts have become very popular in the last years. These methods are computationally expensive, even with hard constraints (seed pixels). We ...
Alexandre X. Falcão, Paulo A. V. Miranda, A...
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
14 years 12 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...
MICCAI
2009
Springer
14 years 2 months ago
Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts
Abstract. Graph Cuts have been shown as a powerful interactive segmentation technique in several medical domains. We propose to automate the Graph Cuts in order to automatically se...
Daniel García-Lorenzo, Jérémy...